* installing *source* package 'glmmrBase' ... ** using staged installation ** libs using C++ compiler: 'g++.exe (GCC) 12.3.0' using C++20 g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c RcppExports.cpp -o RcppExports.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:1491:76: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:1491:76: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:77:11: required from 'class Rcpp::ConstReferenceInputParameter >' RcppExports.cpp:1492:74: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/Exporter.h:63:19: required from 'T Rcpp::traits::IndexingExporter::get() [with T = Eigen::Matrix; value_type = double]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/as.h:89:32: required from 'T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::Matrix; SEXP = SEXPREC*]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/as.h:152:31: required from 'T Rcpp::as(SEXP) [with T = Eigen::Matrix; SEXP = SEXPREC*]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:72:59: required from 'Rcpp::ConstReferenceInputParameter::ConstReferenceInputParameter(SEXP) [with T = Eigen::Matrix; SEXP = SEXPREC*]' RcppExports.cpp:1491:76: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenWrap.h:157:19: required from 'T Rcpp::traits::MatrixExporterForEigen::get() [with T = Eigen::Matrix; value_type = double]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/as.h:89:32: required from 'T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::Matrix; SEXP = SEXPREC*]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/as.h:152:31: required from 'T Rcpp::as(SEXP) [with T = Eigen::Matrix; SEXP = SEXPREC*]' D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/InputParameter.h:72:59: required from 'Rcpp::ConstReferenceInputParameter::ConstReferenceInputParameter(SEXP) [with T = Eigen::Matrix; SEXP = SEXPREC*]' RcppExports.cpp:1492:74: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c covariance_module.cpp -o covariance_module.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from covariance_module.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Covariance]': covariance_module.cpp:10:18: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Covariance' 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::nngpCovariance]': covariance_module.cpp:19:12: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::nngpCovariance' 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::hsgpCovariance]': covariance_module.cpp:28:12: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::hsgpCovariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/modeloptim.hpp:219:22: required from 'double glmmr::ModelOptim::log_likelihood() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:694:12: required from 'double glmmr::ModelOptim::D_likelihood_hsgp::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: 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/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:375:22: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:406:59: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/modeloptim.hpp:766:20: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:767:93: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:767:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:241:22: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:375:18: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/matrixw.hpp:59:6: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/RcppCommon.h:188, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:26: In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]', inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:465:46, inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:489:40, inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from 'SEXPREC* Covariance__B(SEXP, int)' at covariance_module.cpp:260:14: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: 'B' may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ covariance_module.cpp: In function 'SEXPREC* Covariance__B(SEXP, int)': covariance_module.cpp:239:7: note: 'B' was declared here 239 | int B; | ^ In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]', inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:465:46, inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:489:40, inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from 'SEXPREC* Covariance__Q(SEXP, int)' at covariance_module.cpp:289:14: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: 'Q' may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ covariance_module.cpp: In function 'SEXPREC* Covariance__Q(SEXP, int)': covariance_module.cpp:267:7: note: 'Q' was declared here 267 | int Q; | ^ In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]', inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:465:46, inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:489:40, inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from 'SEXPREC* Covariance__n_cov_pars(SEXP, int)' at covariance_module.cpp:374:14: D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: 'G' may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ covariance_module.cpp: In function 'SEXPREC* Covariance__n_cov_pars(SEXP, int)': covariance_module.cpp:353:7: note: 'G' was declared here 353 | int G; | ^ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c linpred_module.cpp -o linpred_module.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from linpred_module.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::LinearPredictor]': linpred_module.cpp:13:30: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::LinearPredictor' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/modeloptim.hpp:219:22: required from 'double glmmr::ModelOptim::log_likelihood() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:694:12: required from 'double glmmr::ModelOptim::D_likelihood_hsgp::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: 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/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:375:22: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:406:59: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/modeloptim.hpp:766:20: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:767:93: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:767:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:241:22: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:375:18: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/matrixw.hpp:59:6: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In member function 'sparse& sparse::operator=(sparse)', inlined from 'void SparseChol::update(const sparse&)' at D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:166:9: warning: '.sparse::m' may be used uninitialized [-Wmaybe-uninitialized] 166 | m = B.m; | ~~^ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'void SparseChol::update(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: note: '' declared here 64 | L = sparse(LAp); | ^ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c model_module.cpp -o model_module.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from model_module.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ModelBits]': model_module.cpp:16:12: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::ModelBits' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:43:18: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' model_module.cpp:240:38: [ 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' model_module.cpp:240:38: required from 'Model__update_W(SEXP, int):: [with auto:58 = 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' model_module.cpp:240:38: [ 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' model_module.cpp:240:38: required from 'Model__update_W(SEXP, int):: [with auto:58 = 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/model.hpp:6: ../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = glmmr::ModelBits]': ../inst/include/glmmr/modelmatrix.hpp:60:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:71:7: required from 'glmmr::Model::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits; std::string = std::__cxx11::basic_string; Eigen::ArrayXXd = Eigen::Array; strvec = std::vector >]' model_module.cpp:47:60: required from here ../inst/include/glmmr/modelmatrix.hpp:115:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 115 | for(j = 0; j < sigma_blocks.size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = glmmr::ModelBits]': ../inst/include/glmmr/modelmatrix.hpp:60:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:71:7: required from 'glmmr::Model::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits; std::string = std::__cxx11::basic_string; Eigen::ArrayXXd = Eigen::Array; strvec = std::vector >]' model_module.cpp:73:70: required from here ../inst/include/glmmr/modelmatrix.hpp:115:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] ../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix::gen_sigma_blocks() [with modeltype = glmmr::ModelBits]': ../inst/include/glmmr/modelmatrix.hpp:60:15: required from 'glmmr::ModelMatrix::ModelMatrix(modeltype&, glmmr::RandomEffects&, bool, bool) [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:71:7: required from 'glmmr::Model::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with modeltype = glmmr::ModelBits; std::string = std::__cxx11::basic_string; Eigen::ArrayXXd = Eigen::Array; strvec = std::vector >]' model_module.cpp:103:70: required from here ../inst/include/glmmr/modelmatrix.hpp:115:20: 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' model_module.cpp:152:42: required from 'Model__set_weights(SEXP, SEXP, int):: [with auto:50 = 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, Model__set_weights(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__set_weights(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__set_weights(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:154:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' model_module.cpp:152:42: required from 'Model__set_weights(SEXP, SEXP, int):: [with auto:50 = 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, Model__set_weights(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_weights(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__set_weights(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__set_weights(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:154:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/matrixw.hpp:53:45: [ 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: 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/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__update_W(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__update_W(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__update_W(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module.cpp:242:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:406:59: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/modeloptim.hpp:766:20: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:767:93: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:767:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:241:22: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa.h:202, from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:8: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1931:18: warning: 'ihp' may be used uninitialized [-Wmaybe-uninitialized] 1931 | 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/rminqa/include/bobyqa_impl.h:704:9, inlined from '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*)' at D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:341:16: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:2279:19: warning: 'xq' may be used uninitialized [-Wmaybe-uninitialized] 2279 | temp += xq*XPT(k,iq); | ^ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1930:55: note: 'xq' was declared here 1930 | 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/rminqa/include/bobyqa_impl.h:704:9, inlined from '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*)' at D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:341:16: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:2270:20: warning: 'xp' may be used uninitialized [-Wmaybe-uninitialized] 2270 | vquad += xp*xq*hq[iw]; | ~~^~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1930:51: note: 'xp' was declared here 1930 | sfrac, sum, sumpq, temp, vlmxsq, vquad, winc, xp, xq; | ^~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c model_module_2.cpp -o model_module_2.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from model_module_2.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmcmc.hpp:66:37: required from 'double glmmr::ModelMCMC::log_prob(const Eigen::VectorXd&) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:65:56: [ 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, Model__log_prob(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_prob(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_prob(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_prob(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_prob(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:67:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' model_module_2.cpp:91:61: required from 'Model__log_gradient(SEXP, SEXP, SEXP, int):: [with auto:55 = 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:442:56: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:102:55: [ 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__linear_predictor(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__linear_predictor(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:104:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__linear_predictor(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__linear_predictor(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:104:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:102:55: [ 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__linear_predictor(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__linear_predictor(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:104:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' model_module_2.cpp:508:49: [ 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, Model__xb(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__xb(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__xb(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__xb(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__xb(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:510:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/model.hpp:8: ../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': model_module_2.cpp:22:44: required from 'Model__set_lower_bound(SEXP, SEXP, int):: [with auto:49 = 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__set_lower_bound(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__set_lower_bound(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:24:13: required from here ../inst/include/glmmr/modeloptim.hpp:296:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 296 | if(bound.size()!=model.linear_predictor.P())Rcpp::stop("Bound not equal to number of parameters"); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': model_module_2.cpp:22:44: required from 'Model__set_lower_bound(SEXP, SEXP, int):: [with auto:49 = 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__set_lower_bound(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__set_lower_bound(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:24:13: required from here ../inst/include/glmmr/modeloptim.hpp:296:18: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] ../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim::set_bound(const dblvec&, bool) [with modeltype = glmmr::ModelBits; dblvec = std::vector]': model_module_2.cpp:22:44: required from 'Model__set_lower_bound(SEXP, SEXP, int):: [with auto:49 = 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__set_lower_bound(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__set_lower_bound(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__set_lower_bound(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:24:13: required from here ../inst/include/glmmr/modeloptim.hpp:296:18: 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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:375:22: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: required from 'Model__nr_beta(SEXP, int):: [with auto:64 = 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:190:36: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:200:46: required from 'Model__laplace_nr_beta_u(SEXP, int):: [with auto:65 = 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, Model__laplace_nr_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_nr_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_nr_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_nr_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_nr_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:202:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: [ 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, Model__laplace_nr_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_nr_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_nr_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_nr_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_nr_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:202:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:143:11: required from 'Eigen::MatrixXd glmmr::ModelMatrix::Sigma(bool) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:210:61: [ 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__Sigma(SEXP, bool, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__Sigma(SEXP, bool, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:212:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:143:11: [ 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__Sigma(SEXP, bool, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__Sigma(SEXP, bool, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:212:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:143:11: required from 'Eigen::MatrixXd glmmr::ModelMatrix::Sigma(bool) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:210:61: [ 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__Sigma(SEXP, bool, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__Sigma(SEXP, bool, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:212:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__information_matrix(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__information_matrix(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:223:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:70:91: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:221:66: [ 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__information_matrix(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__information_matrix(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:223:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:70:40: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:221:66: [ 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__information_matrix(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__information_matrix(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__information_matrix(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:223:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:497:68: required from 'Model__hessian_numerical(SEXP, double, int):: [with auto:92 = 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, Model__hessian_numerical(SEXP, double, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hessian_numerical(SEXP, double, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hessian_numerical(SEXP, double, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:499:40: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:124:37: required from 'Model__ml_theta(SEXP, int):: [with auto:58 = 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:126:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:124:37: required from 'Model__ml_theta(SEXP, int):: [with auto:58 = 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:126:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:140:36: required from 'Model__ml_beta(SEXP, int):: [with auto:59 = 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:140:36: required from 'Model__ml_beta(SEXP, int):: [with auto:59 = 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:140:36: required from 'Model__ml_beta(SEXP, int):: [with auto:59 = 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:150:35: required from 'Model__ml_all(SEXP, int):: [with auto:60 = 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_all(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_all(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:152:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:150:35: required from 'Model__ml_all(SEXP, int):: [with auto:60 = 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_all(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_all(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:152:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:150:35: required from 'Model__ml_all(SEXP, int):: [with auto:60 = 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_all(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_all(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_all(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:152:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:160:46: required from 'Model__laplace_ml_beta_u(SEXP, int):: [with auto:61 = 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:160:46: required from 'Model__laplace_ml_beta_u(SEXP, int):: [with auto:61 = 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:160:46: required from 'Model__laplace_ml_beta_u(SEXP, int):: [with auto:61 = 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:170:45: required from 'Model__laplace_ml_theta(SEXP, int):: [with auto:62 = 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:172:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:170:45: required from 'Model__laplace_ml_theta(SEXP, int):: [with auto:62 = 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:172:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:170:45: required from 'Model__laplace_ml_theta(SEXP, int):: [with auto:62 = 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:172:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:180:50: required from 'Model__laplace_ml_beta_theta(SEXP, int):: [with auto:63 = 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:182:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:180:50: required from 'Model__laplace_ml_beta_theta(SEXP, int):: [with auto:63 = 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:182:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:180:50: required from 'Model__laplace_ml_beta_theta(SEXP, int):: [with auto:63 = 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:182:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_2.cpp:497:68: required from 'Model__hessian_numerical(SEXP, double, int):: [with auto:92 = 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, Model__hessian_numerical(SEXP, double, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian_numerical(SEXP, double, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hessian_numerical(SEXP, double, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hessian_numerical(SEXP, double, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:499:40: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:126:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: [ 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:448:22: required from 'vector_matrix glmmr::ModelMatrix::b_score() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:359:41: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 7 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:485:3: [ 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: [ 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, Model__log_prob(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_prob(SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_prob(SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_prob(SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_prob(SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:67:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: [ 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__linear_predictor(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__linear_predictor(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__linear_predictor(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:104:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:485:3: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' model_module_2.cpp:140:36: [ 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:142:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' model_module_2.cpp:321:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Block >, 1, -1, false>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Block >, 1, -1, false>; EvalReturnType = const Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Block >, 1, -1, false>; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modelmcmc.hpp:125:40: required from 'Eigen::VectorXd glmmr::ModelMCMC::new_proposal(const Eigen::VectorXd&, bool, int, double) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modelmcmc.hpp:171:14: required from 'void glmmr::ModelMCMC::sample(int, int, int) [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmcmc.hpp:199:3: [ 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:379:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 11 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__Sigma(SEXP, bool, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__Sigma(SEXP, bool, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__Sigma(SEXP, bool, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:212:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: [ skipping 7 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__ml_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__ml_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__ml_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:126:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' model_module_2.cpp:321:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__laplace_ml_beta_u(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__laplace_ml_beta_u(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__laplace_ml_beta_u(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:162:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block >, 1, -1, false>; OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: [ 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:379:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Block >, 1, -1, false>; OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: [ 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__mcmc_sample(SEXP, SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:379:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, -1, 1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__log_gradient(SEXP, SEXP, SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__log_gradient(SEXP, SEXP, SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_2.cpp:93:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 24 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 33 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__nr_beta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__nr_beta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__nr_beta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]' model_module_2.cpp:192:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa.h:202, from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:8: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1931:18: warning: 'ihp' may be used uninitialized [-Wmaybe-uninitialized] 1931 | 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/rminqa/include/bobyqa_impl.h:704:9, inlined from '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*)' at D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:341:16: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:2279:19: warning: 'xq' may be used uninitialized [-Wmaybe-uninitialized] 2279 | temp += xq*XPT(k,iq); | ^ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1930:55: note: 'xq' was declared here 1930 | 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/rminqa/include/bobyqa_impl.h:704:9, inlined from '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*)' at D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:341:16: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:2270:20: warning: 'xp' may be used uninitialized [-Wmaybe-uninitialized] 2270 | vquad += xp*xq*hq[iw]; | ~~^~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h: In function '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*)': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/bobyqa_impl.h:1930:51: note: 'xp' was declared here 1930 | sfrac, sum, sumpq, temp, vlmxsq, vquad, winc, xp, xq; | ^~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -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/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from model_module_extension.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::nngpCovariance]': model_module_extension.cpp:46:12: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::nngpCovariance' 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::hsgpCovariance]': model_module_extension.cpp:63:12: required from here D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::hsgpCovariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor] ../inst/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]': model_module_extension.cpp:118:50: required from 'Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: [with auto:49 = 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': model_module_extension.cpp:118:50: required from 'Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: [with auto:49 = 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': model_module_extension.cpp:118:50: required from 'Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: [with auto:49 = 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: [ 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__sandwich(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__sandwich(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:243:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:263:61: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:263:61: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:467:51: required from 'vector_matrix glmmr::ModelMatrix::re_score() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:285:56: [ 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hessian(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hessian(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:287:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/modelmatrix.hpp:471:23: required from 'vector_matrix glmmr::ModelMatrix::re_score() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:285:56: [ 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hessian(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hessian(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:287:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:460:22: required from 'matrix_matrix glmmr::ModelMatrix::hess_and_grad() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:230:61: [ 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, Model__hess_and_grad(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hess_and_grad(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hess_and_grad(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hess_and_grad(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hess_and_grad(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:232:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modelmatrix.hpp:279:39: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:252:72: required from 'Model__infomat_theta(SEXP, int):: [with auto:61 = 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modelmatrix.hpp:279:39: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:252:72: required from 'Model__infomat_theta(SEXP, int):: [with auto:61 = 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:296:68: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:252:72: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:296:99: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_theta() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' model_module_extension.cpp:252:72: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:263:61: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' model_module_extension.cpp:263:61: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/modeloptim.hpp:219:22: [ 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, Model__aic(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__aic(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__aic(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__aic(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__aic(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:81:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:43:18: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:78:11: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:78:11: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:78:11: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modelmatrix.hpp:78:11: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:70:91: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:70:40: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 7 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 7 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 7 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 7 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 11 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__sandwich(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__sandwich(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:243:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:27: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 7 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__hessian(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__hessian(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__hessian(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:287:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1581:27: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__sandwich(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__sandwich(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:243:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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 > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, int)::, Model__marginal(SEXP, std::string, int, int, int, Rcpp::Nullable > >, Rcpp::Nullable > >, Rcpp::Nullable > >, double, double, Rcpp::Nullable >, Rcpp::Nullable >, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:125:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__sandwich(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__sandwich(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:243:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__sandwich(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__sandwich(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__sandwich(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:243:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__kenward_roger(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__kenward_roger(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__kenward_roger(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 24 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&, Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer > >, 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, Model__infomat_theta(SEXP, int):: >&; _Args = {Rcpp::XPtr >, Rcpp::PreserveStorage, Rcpp::standard_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, Model__infomat_theta(SEXP, 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> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3}; 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, Model__infomat_theta(SEXP, 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> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant, Eigen::Array, Eigen::Matrix, vector >, vector<__cxx11::basic_string, allocator >, allocator<__cxx11::basic_string, allocator > > >, vector >, vector_matrix, matrix_matrix, kenward_data, vector, allocator > >, pair >]' model_module_extension.cpp:254:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c openmp_utils.cpp -o openmp_utils.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from openmp_utils.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/modeloptim.hpp:219:22: required from 'double glmmr::ModelOptim::log_likelihood() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:694:12: required from 'double glmmr::ModelOptim::D_likelihood_hsgp::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: 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/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: 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/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:375:22: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:406:59: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/modeloptim.hpp:766:20: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:767:93: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:767:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:241:22: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:375:18: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:737:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/matrixw.hpp:59:6: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modelmatrix.hpp:72:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix_by_block(int) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:81:10: required from 'Eigen::MatrixXd glmmr::ModelMatrix::information_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:265:36: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In member function 'sparse& sparse::operator=(sparse)', inlined from 'void SparseChol::update(const sparse&)' at D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:166:9: warning: '.sparse::m' may be used uninitialized [-Wmaybe-uninitialized] 166 | m = B.m; | ~~^ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'void SparseChol::update(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: note: '' declared here 64 | L = sparse(LAp); | ^ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -std=gnu++20 -I"D:/RCompile/recent/R/include" -DNDEBUG -I../inst/include/ -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include' -I'D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include' -I'D:/RCompile/CRANpkg/lib/4.4/BH/include' -I'D:/RCompile/CRANpkg/lib/4.4/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.4/rminqa/include' -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c other_functions.cpp -o other_functions.o In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:397, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Dense:1, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:28, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigen.h:25, from ../inst/include/glmmr/general.h:11, from ../inst/include/glmmr.h:5, from other_functions.cpp:1: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 718 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 741 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 764 | struct palign_impl | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:377: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:370: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:439: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/SparseCore:37, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Sparse:26, from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/RcppEigenForward.h:29: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:133:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:3, from ../inst/include/glmmr/general.h:26: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::insert(int, int, double)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:219:18: 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] 219 | if(Ap[row]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:226:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 226 | for(int i = row+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:238:18: 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] 238 | if(Ap[col]+p >= Ai.size()){ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:245:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 245 | for(int i = col+1; i < Ap.size(); i++)Ap[i]++; | ~~^~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'void sparse::transpose()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:260:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 260 | for (int i = 2; i < B.Ap.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h: In member function 'sparse& sparse::operator+=(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:292:10: warning: unused variable 'val' [-Wunused-variable] 292 | double val; | ^~~ In file included from D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:4: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'dblvec operator*(const sparse&, const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/operators.h:14:10: warning: unused variable 'val' [-Wunused-variable] 14 | double val; | ^~~ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In member function 'sparse& sparse::operator%=(const dblvec&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:65:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:144:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:148:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:149:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h: In function 'sparse SparseOperators::operator%(const sparse&, const Eigen::VectorXd&)': D:/RCompile/CRANincoming/R-devel/lib/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/CRANincoming/R-devel/lib/SparseChol/include/SparseChol.h:5: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'sparse SparseChol::LD()': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:194:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 194 | for(int i = 0; i < Dsq.size(); i++)Dsq[i] = sqrt(Dsq[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_facade.hpp:13, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/range/iterator_range_core.hpp:27, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/lexical_cast.hpp:30, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/tools/convert_from_string.hpp:15, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/constants/constants.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/gamma.hpp:24, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/detail/bessel_jy.hpp:14, from D:/RCompile/CRANpkg/lib/4.4/BH/include/boost/math/special_functions/bessel.hpp:20, from ../inst/include/glmmr/general.h:29: 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 | ); | ~ | - ../inst/include/glmmr/general.h: In function 'bool glmmr::is_number(const std::string&)': ../inst/include/glmmr/general.h:240:11: warning: unused variable 'a' [-Wunused-variable] 240 | float a = std::stod(s); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/algo.h:100:17: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, true>' ../inst/include/glmmr/algo.h:114:23: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/algo.h:125:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:84:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:84:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' ../inst/include/glmmr/maths.h:84:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/maths.h:97:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:107:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/maths.h:123:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:373: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h: In instantiation of 'struct Eigen::NumTraits >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: recursively required by substitution of 'template struct Eigen::ScalarBinaryOpTraits::IsComplex, T>::type>::Real, BinaryOp> [with T = Eigen::Array; BinaryOp = Eigen::internal::scalar_product_op, double>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:408:41: required by substitution of 'template static Eigen::internal::meta_yes Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >::testFunctor(const typename C::ReturnType*) [with C = Eigen::ScalarBinaryOpTraits, double, Eigen::internal::scalar_product_op, double> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Meta.h:411:39: required from 'struct Eigen::internal::has_ReturnType, double, Eigen::internal::scalar_product_op, double> > >' d:\rcompile\cranpkg\lib\4.4\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1: required by substitution of 'template typename Eigen::internal::enable_if > >::value>::type, double>, const typename Eigen::internal::plain_constant_type, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, typename Eigen::internal::promote_scalar_arg > >::value>::type>::type, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >::type Eigen::operator*(const T&, const ArrayBase, const CwiseNullaryOp, const Array >, const Array > >::StorageBaseType&) [with T = Eigen::Array]' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:209:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 209 | ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::ReadCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:210:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 210 | AddCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::AddCost, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NumTraits.h:211:96: warning: arithmetic between different enumeration types 'Eigen::Array::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 211 | MulCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits::MulCost | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:123:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:123:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/maths.h:219:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/maths.h:219:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/maths.h:238:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/glmmr/maths.h:242:25: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>' ../inst/include/glmmr/maths.h:242:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/glmmr/maths.h:242:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:242:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 1, -1, false> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 1, -1, false> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/glmmr/maths.h:249:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:249:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/glmmr/maths.h:249:72: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/maths.h:253:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/glmmr/maths.h:261:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/maths.h:261:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/maths.h:269:22: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:284:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/maths.h:290:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/maths.h:481:14: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/calculator.hpp:25:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/calculator.hpp:166:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/formulaparse.h:82:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/formulaparse.h:213:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr.h:7: ../inst/include/glmmr/formula.hpp: In member function 'void glmmr::Formula::tokenise()': ../inst/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] 309 | for(int m = 0; m < vals.size(); m++){ | ~~^~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:337:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 337 | for(int j = 0; j < fn_.size(); j++){ | ~~^~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:343:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 343 | for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]); | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:344:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 344 | for(int k = 0; k < fn_[j].size(); k++){ | ~~^~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:370:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 370 | for(int i =0; i::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 381 | for(int j = 0; j >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 386 | for(int k = 0; k < (re_temp_data_[i].size()-1); k++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp:387:30: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 387 | for(int l = k+1; l < re_temp_data_[i].size(); l++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/covariance.hpp:557:32: 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] 557 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/covariance.hpp:616:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/covariance.hpp:741:84: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/covariance.hpp:742:95: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/covariance.hpp:742:96: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()': ../inst/include/glmmr/covariance.hpp:876:22: warning: comparison of integer expressions of different signedness: '__gnu_cxx::__alloc_traits, int>::value_type' {aka 'int'} and 'unsigned int' [-Wsign-compare] 876 | if(re_order_[j]==i){ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/linearpredictor.hpp:105:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/linearpredictor.hpp:156:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/glmmr/linearpredictor.hpp:157:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' ../inst/include/glmmr/linearpredictor.hpp:186:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/hsgpcovariance.hpp:44:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/hsgpcovariance.hpp:146:18: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:87: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:88: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:106: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > > >' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:229:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>' ../inst/include/glmmr/hsgpcovariance.hpp:277:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/glmmr/modelbits.hpp:5, from ../inst/include/glmmr/model.hpp:4, from ../inst/include/glmmr.h:10: ../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()': ../inst/include/glmmr/hsgpcovariance.hpp:335:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 335 | for(int i = 0; i < indices_vec.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/hsgpcovariance.hpp:336:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 336 | for(int j = 0; j < indices_vec[0].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/hsgpcovariance.hpp:354:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:354:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' ../inst/include/glmmr/hsgpcovariance.hpp:356:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:11:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/griddata.hpp:13:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' ../inst/include/glmmr/griddata.hpp:26:65: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from ../inst/include/glmmr/nngpcovariance.hpp:4, from ../inst/include/glmmr/modelbits.hpp:6: ../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)': ../inst/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/glmmr/griddata.hpp:72:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/glmmr/nngpcovariance.hpp:153:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/glmmr/nngpcovariance.hpp:153:61: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Matrix, 0>' ../inst/include/glmmr/nngpcovariance.hpp:153:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:162:26: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' ../inst/include/glmmr/nngpcovariance.hpp:188:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)': ../inst/include/glmmr/nngpcovariance.hpp:237:32: 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] 237 | } else if(parameters_.size() == parameters.size()){ | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/nngpcovariance.hpp:252:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' ../inst/include/glmmr/nngpcovariance.hpp:265:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/glmmr/randomeffects.hpp:60:20: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/glmmr/randomeffects.hpp:63:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' ../inst/include/glmmr/randomeffects.hpp:84:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_mean, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_mean, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>' ../inst/include/glmmr/randomeffects.hpp:88:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' ../inst/include/glmmr/randomeffects.hpp:159:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' ../inst/include/glmmr/randomeffects.hpp:161:19: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:58:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/glmmr/modelmatrix.hpp:281:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:281:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:45: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:289:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:289:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:290:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' ../inst/include/glmmr/modelmatrix.hpp:348:70: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >' ../inst/include/glmmr/modelmatrix.hpp:375:79: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:375:93: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:390:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:396:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:411:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:420:60: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::internal::member_sum, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr >, Eigen::internal::member_sum, 1>' ../inst/include/glmmr/modelmatrix.hpp:494:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/glmmr/modelmcmc.hpp:125:58: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:125:73: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1>' ../inst/include/glmmr/modelmcmc.hpp:126:66: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:464:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modeloptim.hpp:464:50: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> >' ../inst/include/glmmr/modeloptim.hpp:653:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/glmmr/modeloptim.hpp:781:116: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:858:33: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:858:40: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/model.hpp:313:55: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] other_functions.cpp: In function 'std::vector > re_names(const std::string&)': other_functions.cpp:9:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 9 | for(int i = 0; i < form.re_.size(); i++){ | ~~^~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:545:41: required from 'Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]' ../inst/include/glmmr/maths.h:251:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr.h:6: ../inst/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]': ../inst/include/glmmr/covariance.hpp:639:21: required from here ../inst/include/glmmr/maths.h:20:24: 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] 20 | for (size_t i = 0; i < res.size(); ++i) | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: required from 'struct Eigen::internal::evaluator > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8: required from 'struct Eigen::internal::evaluator >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/glmmr/general.h:36: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/Rcpp/include/Rcpp.h:46, from D:/RCompile/CRANpkg/lib/4.4/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 >]': ../inst/include/glmmr.h:33:36: 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 >]': ../inst/include/glmmr.h:33:59: 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 >]': ../inst/include/glmmr.h:33:82: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/glmmr/modeloptim.hpp:766:20: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:767:93: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:767:42: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:851:56: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:856:32: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:369: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:82:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:276:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&&) [with _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/operators.h:163:10: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long int; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:97:29: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:30: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:46: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = long long int; T1 = int; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:62:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:178:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T0&, const T1&) [with T0 = int; T1 = int; _Scalar = int; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/hsgpcovariance.hpp:66:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:15: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = long long unsigned int; _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:47:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:445: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/nngpcovariance.hpp:162:32: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:515: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/modeloptim.hpp:784:28: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:353:43: required from 'struct Eigen::internal::partial_lu_impl' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:495: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h: In instantiation of 'class Eigen::SelfAdjointView, -1, -1, false>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:51: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:30: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h:68:61: warning: bitwise operation between different enumeration types 'Eigen::internal::traits, -1, -1, false>, 1> >::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 68 | TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0) | ~~~~~~^~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:261:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix() [with _Scalar = int; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h:311:5: required from 'Eigen::PermutationMatrix::PermutationMatrix() [with int SizeAtCompileTime = -1; int MaxSizeAtCompileTime = -1; _StorageIndex = int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:294:5: required from 'Eigen::PartialPivLU::PartialPivLU() [with _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:247:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1277:59: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:460:17: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:16: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/covariance.hpp:746:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:26: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:43: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:346:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:80: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:32: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelbits.hpp:30:62: required from 'Eigen::ArrayXd glmmr::ModelBits::xb() [with cov = glmmr::hsgpCovariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/modeloptim.hpp:219:22: required from 'double glmmr::ModelOptim::log_likelihood() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:694:12: required from 'double glmmr::ModelOptim::D_likelihood_hsgp::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood_hsgp; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:511:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:58: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:43: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:17: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:94: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/maths.h:482:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:74: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types '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>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:46: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:50: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:86:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 86 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Array]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:170:35: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Transpose, -1, 1, false> >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Transpose, -1, 1, false> >; EvalReturnType = const Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/IO.h:220:42: required from 'std::ostream& Eigen::operator<<(std::ostream&, const DenseBase&) [with Derived = Transpose, -1, 1, false> >; std::ostream = std::basic_ostream]' ../inst/include/glmmr/modeloptim.hpp:781:75: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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]' ../inst/include/glmmr/modeloptim.hpp:858:49: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/algo.h:114:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:107:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/formulaparse.h:286:63: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/covariance.hpp:640:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/covariance.hpp:741:62: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/linearpredictor.hpp:186:53: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from 'Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/glmmr/hsgpcovariance.hpp:146:68: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Array; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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, true>]' ../inst/include/glmmr/griddata.hpp:72:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:484: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:54: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1, 1, false>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _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/glmmr/nngpcovariance.hpp:252:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:498: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper >, Eigen::Product, Eigen::DiagonalWrapper > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/nngpcovariance.hpp:265:12: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:60:51: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/randomeffects.hpp:63:44: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: 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/RcppEigen/include/Eigen/Core:496: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:84:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:123:42: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:219:39: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >, const Eigen::Transpose, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose, 1, -1, false> >, 0>, Eigen::Block, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp, Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:249:90: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:71:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h: In instantiation of 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:266:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:63: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Visitor.h:114:33: warning: arithmetic between different enumeration types 'Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' and 'Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 114 | && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits::Cost <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:253:34: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:284:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:290:31: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/maths.h:293:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/hsgpcovariance.hpp:210:107: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/griddata.hpp:71:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, false> > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:586:18: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_mean, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::PartialReduxExpr, member_mean, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_mean, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_mean, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::PartialReduxExpr, Eigen::internal::member_mean, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:88:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::internal::member_mean, 1> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, const Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/randomeffects.hpp:158:38: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, 1, true> >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:36: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1120:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1120 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1330:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1330 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1498:22: warning: arithmetic between different enumeration types 'Eigen::internal::gebp_kernel, 4, 4, false, false>::operator()(const Eigen::internal::blas_data_mapper&, const double*, const double*, long long int, long long int, long long int, ResScalar, long long int, long long int, long long int, long long int)::' and 'Eigen::internal::gebp_kernel, 4, 4, false, false>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1498 | blB += pk*RhsProgress; | ~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:494: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h: In instantiation of 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::TriangularView, 1>; Functor = Eigen::internal::assign_op]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::TriangularView, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::TriangularView, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:571:22: required from 'Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:548:13: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/maths.h:476:37: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:840:72: warning: bitwise operation between different enumeration types 'Eigen::TriangularView, 1>::' and 'Eigen::UpLoType' is deprecated [-Wdeprecated-enum-enum-conversion] 840 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: 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]' ../inst/include/glmmr/covariance.hpp:742:98: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseUnaryOp, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:856:16: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:24: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: 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/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:62: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::Array > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::Array > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:354:49: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:114: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from 'void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:500:38: required from 'Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::DiagonalWrapper, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/hsgpcovariance.hpp:356:59: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/nngpcovariance.hpp:153:71: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:269:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(Eigen::internal::constructor_without_unaligned_array_assert) [with _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 = 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/glmmr/algo.h:132:41: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:25: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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>, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:500: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base >, const Eigen::Matrix, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 2>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:907:8: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:498:76: required from 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h: In instantiation of '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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:113:23: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 113 | info[tid].users += threads; | ~~~~~~~~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:151:17: warning: compound assignment with 'volatile'-qualified left operand is deprecated [-Wvolatile] 151 | #pragma omp atomic | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::diagonal_product_evaluator_base, 1, -1, false> >, const Eigen::Block, 0>, -1, 1, false>, Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 1>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:861:8: required from 'struct Eigen::internal::product_evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 7, Eigen::DiagonalShape, Eigen::DenseShape, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>; Derived = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:801:48: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 801 | CoeffReadCost = NumTraits::MulCost + evaluator::CoeffReadCost + evaluator::CoeffReadCost, | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: 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/RcppEigen/include/Eigen/Core:499: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/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/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/randomeffects.hpp:87:30: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:814:9: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modeloptim.hpp:847:14: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modeloptim.hpp:847:14: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: 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::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modeloptim.hpp:847:14: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/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; bool Conjugate = false; bool PanelMode = false]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:125:16: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:437:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:484:29: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:56: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' ../inst/include/glmmr/nngpcovariance.hpp:188:35: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:568:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:592:25: required from 'void Eigen::LDLT::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Block, -1, 1, true>, -1, 1, false>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: 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::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: 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/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modeloptim.hpp:847:14: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:194:32: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:438:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:57: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from 'Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Array; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from 'void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Array; Eigen::Index = long long int]' ../inst/include/glmmr/griddata.hpp:61:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128i'} [-Wignored-attributes] In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:371: D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; ResScalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: 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 = 5; bool Conjugate = false]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Side = 1; int Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/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::Block, -1, 1, true>, -1, 1, false>; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/Core:446: D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::div_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::mapbase_evaluator, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/randomeffects.hpp:89:43: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:814:9: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/calculator.hpp:166:36: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:304:24: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, Eigen::Matrix > >, Eigen::internal::assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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 = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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::CwiseNullaryOp, Eigen::Matrix >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/modeloptim.hpp:847:14: required from 'Eigen::ArrayXd glmmr::ModelOptim::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array; Eigen::VectorXd = Eigen::Matrix]' other_functions.cpp:42:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::mapbase_evaluator, 2, Eigen::Stride<0, 0> >, Eigen::Matrix >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -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/CRANpkg/lib/4.4/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::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/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, false>, -1, 1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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, false> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:229:15: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator >, -1, 1, false> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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/glmmr/hsgpcovariance.hpp:283:48: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:301:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T0&, const T1&) [with T0 = long long int; T1 = long long int; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:108:7: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 7; 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::Block, 1, -1, false>; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: required from 'Eigen::internal::evaluator::evaluator(const T&) [with T = Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:275:66: required from 'Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::unary_evaluator(const XprType&) [with ArgType = const Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>; typename Eigen::Transpose::Scalar = double; XprType = Eigen::Transpose, 1, -1, false>, Eigen::Matrix, 0> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:93:64: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/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, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:23: 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; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:31: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:336:10: required from 'Eigen::PartialPivLU::PartialPivLU(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' ../inst/include/glmmr/maths.h:250:56: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/hsgpcovariance.hpp:277:54: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:52: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1088:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose, 1, -1, false> >, 0>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/maths.h:261:92: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h: In instantiation of 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::swap_assign_op, 0>]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:741:37: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Func = swap_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Block, -1, 1, true>, -1, 1, false>, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1087:51: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/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>]' ../inst/include/glmmr/nngpcovariance.hpp:188:46: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:432:31: warning: arithmetic between different enumeration types 'Eigen::Block, -1, 1, true>, -1, 1, false>, 1, 1, false>::' and 'Eigen::internal::unpacket_traits<__vector(2) double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 432 | alignedSize = (size/packetSize)*packetSize }; | ~~~~~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:144:24: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: 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]' ../inst/include/glmmr/maths.h:242:52: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:75: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:63: 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 = 0; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/hsgpcovariance.hpp:347:28: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modeloptim.hpp:375:22: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/modeloptim.hpp:387:41: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modeloptim.hpp:387:44: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modeloptim.hpp:387:72: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modeloptim.hpp:391:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >' ../inst/include/glmmr/modeloptim.hpp:392:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:394:37: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:396:25: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse >' ../inst/include/glmmr/modeloptim.hpp:403:26: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:405:71: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' ../inst/include/glmmr/modeloptim.hpp:406:59: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' ../inst/include/glmmr/modeloptim.hpp:423:45: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' ../inst/include/glmmr/modeloptim.hpp:431:86: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/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]': ../inst/include/glmmr/model.hpp:144:16: required from here ../inst/include/glmmr/model.hpp:180:60: warning: comparison of integer expressions of different signedness: 'std::vector::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare] 180 | if(re_type == RandomEffectMargin::At && atrevals.size() != model.covariance.Q())Rcpp::stop("Need to provide values for u vector"); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/glmmr/model.hpp:203:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 203 | for(int p = 0; p < at.size(); p++){ | ~~^~~~~~~~~~~ ../inst/include/glmmr/model.hpp:218:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 218 | for(int p = 0; p < atmeans.size(); p++){ | ~~^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:46: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h: In instantiation of 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >]': ../inst/include/glmmr/model.hpp:82:27: required from 'void glmmr::Model::set_weights(const Eigen::ArrayXd&) [with modeltype = glmmr::ModelBits; Eigen::ArrayXd = Eigen::Array]' ../inst/include/glmmr/model.hpp:80:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:110:60: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::GenericNumTraits::' is deprecated [-Wdeprecated-enum-enum-conversion] 110 | && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits::AddCost) <= EIGEN_UNROLLING_LIMIT | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:396:13: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:412:20: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>' ../inst/include/glmmr/modelmatrix.hpp:243:53: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:442:27: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:58:36: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >' ../inst/include/glmmr/matrixw.hpp:59:32: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' ../inst/include/glmmr/matrixw.hpp:59:60: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::internal::member_sum, 1> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >' ../inst/include/glmmr/modelmatrix.hpp:494:55: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::MatrixWrapper >, 0>' ../inst/include/glmmr/modelmatrix.hpp:506:65: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:506:94: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:508:41: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:514:38: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:516:45: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:519:78: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/glmmr/modelmatrix.hpp:519:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0> >' ../inst/include/glmmr/modelmatrix.hpp:519:108: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >' ../inst/include/glmmr/modelmatrix.hpp:535:43: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:535:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >' ../inst/include/glmmr/modelmatrix.hpp:548:59: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:568:58: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:42: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:584:86: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:604:50: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:604:137: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> >' ../inst/include/glmmr/modelmatrix.hpp:619:54: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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> > >' ../inst/include/glmmr/modelmatrix.hpp:619:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper >, const Eigen::Matrix, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >' ../inst/include/glmmr/modelmatrix.hpp:638:87: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>' ../inst/include/glmmr/modelmatrix.hpp:638:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:638:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:638:127: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 >' ../inst/include/glmmr/modelmatrix.hpp:650:100: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:121: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:124: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:650:64: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:650:148: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:650:174: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:652:60: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:101: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:111: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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>' ../inst/include/glmmr/modelmatrix.hpp:664:66: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > >' ../inst/include/glmmr/modelmatrix.hpp:664:113: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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 > > >' ../inst/include/glmmr/modelmatrix.hpp:664:139: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ In file included from D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:9: D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]': ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:112:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 112 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:116:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 116 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-3; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:120:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 120 | for(int i = 0; i< hess.size(); i++)hess[i] = 0.0; | ~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::D_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:500:15: required from 'void glmmr::ModelOptim::ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:489:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:515:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:561:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:575:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::L_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:484:15: required from 'void glmmr::ModelOptim::ml_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:471:13: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::F_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:533:15: required from 'void glmmr::ModelOptim::ml_all() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:39:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:40:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_cov; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:571:15: required from 'void glmmr::ModelOptim::laplace_ml_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:41:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h: In instantiation of 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood_btheta; Partype = std::vector]': ../inst/include/glmmr/modeloptim.hpp:587:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_theta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:42:16: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:76:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 76 | for(int i = 0; i< npar; i++)lower_[i] = R_NegInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:81:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::size_t' {aka 'long long unsigned int'} [-Wsign-compare] 81 | for(int i = 0; i< npar; i++)upper_[i] = R_PosInf; | ~^~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:28: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from 'class Eigen::Replicate, 1, -1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:513:64: required from 'ExpressionType& Eigen::VectorwiseOp::operator+=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; ExpressionType = Eigen::Matrix; int Direction = 0]' ../inst/include/glmmr/modelmatrix.hpp:241:22: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, 6>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>' ../inst/include/glmmr/modeloptim.hpp:653:30: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h: In instantiation of 'void rminqa::Functor::Gradient(const T&, T&) [with T = std::vector]': D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:129:7: required from 'void rminqa::Functor::Hessian(const T&, T2&) [with T2 = std::vector; T = std::vector]' ../inst/include/glmmr/modeloptim.hpp:729:14: required from 'Eigen::MatrixXd glmmr::ModelOptim::hessian_numerical(double) [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:713:17: required from here D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:48:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 48 | for(int i = 0; i< par.size(); i++)os.parscale_[i] = 1.0; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:52:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 52 | for(int i = 0; i< par.size(); i++)os.ndeps_[i] = 1e-6; | ~^~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:61:25: 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 != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/rminqa/include/functor.h:75:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] 75 | for (int i = 0; i != par.size(); ++i) { | ~~^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: required from 'typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:355:69: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:355:100: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:419:53: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1563:41: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, Eigen::Matrix, 0> >' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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]' ../inst/include/glmmr/modeloptim.hpp:464:54: required from 'void glmmr::ModelOptim::calculate_var_par() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:408:3: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::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> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::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> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = 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> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::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> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:375:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >; Derived = Eigen::Matrix]' ../inst/include/glmmr/modelmatrix.hpp:390:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::Array >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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/CRANpkg/lib/4.4/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::Array]' ../inst/include/glmmr/modelmatrix.hpp:534:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:550:16: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, 7>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::MatrixWrapper >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:619:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from 'Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Derived = Eigen::Array]' ../inst/include/glmmr/modelmatrix.hpp:652:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 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::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator, const Eigen::Matrix > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator >, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, const Eigen::Matrix, const Eigen::Matrix >, 1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:442:75: required from 'Eigen::MatrixXd glmmr::ModelMatrix::linpred() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:356:31: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1>, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:375:18: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::functor_traits >::' is deprecated [-Wdeprecated-enum-enum-conversion] 522 | CoeffReadCost = evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:387:9: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:391:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Matrix, const Eigen::MatrixWrapper, const Eigen::Array > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modeloptim.hpp:392:13: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base, const Eigen::Array > > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:242:29: 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::CwiseNullaryOp, Eigen::Array >, 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/glmmr/modelmatrix.hpp:548:15: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, Eigen::Array > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/matrixw.hpp:59:6: required from 'void glmmr::MatrixW::update() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:413:18: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator >, Eigen::internal::member_sum, 1> >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, member_sum, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1287:35: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator >, Eigen::internal::member_sum, 1> >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 1287 | : TraversalSize * evaluator::CoeffReadCost + int(CostOpType::value), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Array, const Eigen::ArrayWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:508:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:516:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:535:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::Array, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:568:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: required from 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, 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::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, 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/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = 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 > >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = 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 > >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::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 > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = 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 > >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = 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 > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:584:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:349:33: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::unary_evaluator, -1, 1, true> > >, Eigen::internal::IndexBased, double>::' and 'Eigen::internal::evaluator, -1, 1, true> >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:412:11: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> > >, const Eigen::Block, -1, 1, true> > >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from '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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/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> >; Rhs = Eigen::Block, -1, 1, true>]' D:/RCompile/CRANpkg/lib/4.4/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> >; 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::Transpose, -1, 1, true> >; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::Block, -1, 1, true>, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, -1, 1, true> >; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]' ../inst/include/glmmr/modeloptim.hpp:653:8: required from 'double glmmr::ModelOptim::LA_likelihood::operator()(const dblvec&) [with modeltype = glmmr::ModelBits; dblvec = std::vector]' D:/RCompile/CRANpkg/lib/4.4/rminqa/include/rbobyqa.h:96:17: required from 'void rminqa::Rbobyqa::minimize(Derived&, Partype&) [with Derived = glmmr::ModelOptim >::LA_likelihood; Partype = std::vector]' ../inst/include/glmmr/modeloptim.hpp:556:15: required from 'void glmmr::ModelOptim::laplace_ml_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:538:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/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>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1343:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:519:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; 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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper > >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:59:75: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:604:20: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:39: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper >, const Eigen::Matrix > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper >, const Eigen::Matrix >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:638:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base > >::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl >, Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >, Eigen::DenseShape, Eigen::DenseShape, 7>' D:/RCompile/CRANpkg/lib/4.4/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::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; XprType = 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/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > >, const Eigen::MatrixWrapper > >; int Options = 0; XprType = 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/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:103:54: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:650:22: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::Array > > >::' and 'Eigen::internal::evaluator_wrapper_base > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1338:41: required from 'struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from 'struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::internal::IndexBased, double>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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/CRANpkg/lib/4.4/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]' ../inst/include/glmmr/modelmatrix.hpp:664:24: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::Array >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>::' and 'Eigen::internal::evaluator, const Eigen::Array > >::' is deprecated [-Wdeprecated-enum-enum-conversion] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, 1>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::add_assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = add_assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = Eigen::internal::add_assign_op; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >, 1, -1, true> >; Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h: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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, 1, -1, true>; ResultType = double]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Transpose >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long long int]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1357:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::ArrayWrapper >, member_sum, 1> >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Array]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Array.h:109:24: required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/glmmr/modelmatrix.hpp:494:18: required from 'Eigen::VectorXd glmmr::ModelMatrix::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits; Eigen::VectorXd = Eigen::Matrix]' ../inst/include/glmmr/modeloptim.hpp:432:58: required from 'void glmmr::ModelOptim::laplace_nr_beta_u() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:412:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product >, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Transpose >; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:336:10: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator >, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Transpose >, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:348:15: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:551:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 551 | Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit) | ~~~~~~~~~~^~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:572:38: warning: bitwise operation between different enumeration types 'Eigen::internal::evaluator > >::' and 'Eigen::internal::unary_evaluator >, Eigen::internal::IndexBased, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 572 | && (LhsFlags & RhsFlags & ActualPacketAccessBit) | ~~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Transpose >, 0>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modelmatrix.hpp:243:12: required from 'Eigen::MatrixXd glmmr::ModelMatrix::sandwich_matrix() [with modeltype = glmmr::ModelBits; Eigen::MatrixXd = Eigen::Matrix]' ../inst/include/glmmr/model.hpp:262:33: 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]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Product, Eigen::Transpose >, 0>, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:453:25: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Redux.h:500:34: 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]' ../inst/include/glmmr/modelmatrix.hpp:420:66: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]' ../inst/include/glmmr/modelmatrix.hpp:411:36: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: 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::Product, Eigen::Matrix, 1> >; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: 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::Product, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = 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/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const 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/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::Matrix, const 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]' ../inst/include/glmmr/modelmatrix.hpp:396:9: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: warning: arithmetic between different enumeration types 'Eigen::internal::evaluator, const Eigen::Matrix > >::' and 'Eigen::internal::product_evaluator, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' is deprecated [-Wdeprecated-enum-enum-conversion] 681 | CoeffReadCost = evaluator::CoeffReadCost + evaluator::CoeffReadCost + functor_traits::Cost, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h: In instantiation of 'struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: 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>, Eigen::Matrix, 1>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; LhsT = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: 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/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: 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]' ../inst/include/glmmr/modelmatrix.hpp:345:12: required from 'kenward_data glmmr::ModelMatrix::kenward_roger() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/model.hpp:257:48: required from 'dblpair glmmr::Model::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits; dblpair = std::pair; std::string = std::__cxx11::basic_string; strvec = std::vector >; dblvec = std::vector]' ../inst/include/glmmr/model.hpp:144:16: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:524:61: warning: arithmetic between different enumeration types 'Eigen::GenericNumTraits::' and 'Eigen::internal::evaluator > >::' is deprecated [-Wdeprecated-enum-enum-conversion] 524 | : InnerSize * (NumTraits::MulCost + LhsCoeffReadCost + RhsCoeffReadCost) | ~~~~~~~~^~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:573:39: warning: arithmetic between different enumeration types 'Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 8, Eigen::DenseShape, Eigen::DenseShape, double, double>::' and 'Eigen::internal::packet_traits::' is deprecated [-Wdeprecated-enum-enum-conversion] 573 | && (InnerSize % packet_traits::size == 0) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h: In instantiation of 'static void Eigen::PlainObjectBase::_check_template_params() [with Derived = Eigen::Matrix]': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Matrix.h:293:35: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = long long int; _Scalar = bool; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:976:99: required from 'static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::Matrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Side = 1; bool Transposed = false]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1022:72: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int ProductTag = 8; MatrixShape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::CwiseNullaryOp, Eigen::Matrix >; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:905:28: note: in expansion of macro 'EIGEN_IMPLIES' 905 | EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:102: warning: bitwise operation between different enumeration types 'Eigen::PlainObjectBase >::' and 'Eigen::StorageOptions' is deprecated [-Wdeprecated-enum-enum-conversion] 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ~~~~~~~~^~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h:33:54: note: in definition of macro 'EIGEN_STATIC_ASSERT' 33 | #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG); | ^ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:906:28: note: in expansion of macro 'EIGEN_IMPLIES' 906 | && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0) | ^~~~~~~~~~~~~ D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: 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::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]' D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]' D:/RCompile/CRANpkg/lib/4.4/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/glmmr/modeloptim.hpp:403:11: required from 'void glmmr::ModelOptim::nr_beta() [with modeltype = glmmr::ModelBits]' ../inst/include/glmmr/modeloptim.hpp:353:13: required from here D:/RCompile/CRANpkg/lib/4.4/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 989 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In member function 'sparse& sparse::operator=(sparse)', inlined from 'void SparseChol::update(const sparse&)' at D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparsematrix.h:166:9: warning: '.sparse::m' may be used uninitialized [-Wmaybe-uninitialized] 166 | m = B.m; | ~~^ D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h: In member function 'void SparseChol::update(const sparse&)': D:/RCompile/CRANincoming/R-devel/lib/SparseChol/include/sparseldl.h:64:21: note: '' declared here 64 | L = sparse(LAp); | ^ ../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()': ../inst/include/glmmr/covariance.hpp:310:39: warning: 'idx' may be used uninitialized [-Wmaybe-uninitialized] 310 | vals[m] = data_(k,fnvars[idx][m]); | ^ ../inst/include/glmmr/covariance.hpp:229:22: note: 'idx' was declared here 229 | unsigned int j,k,idx,zcol; | ^~~ g++ -shared -s -static-libgcc -o glmmrBase.dll tmp.def RcppExports.o covariance_module.o linpred_module.o model_module.o model_module_2.o model_module_extension.o openmp_utils.o other_functions.o -fopenmp -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -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-glmmrBase/00new/glmmrBase/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 (glmmrBase)